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https://github.com/facebookresearch/pytorch3d.git
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a3baa367e3
Summary: Added backward for mesh face areas & normals. Exposed it as a layer. Replaced the computation with the new op in Meshes and in Sample Points. Current issue: Circular imports. I moved the import of the op in meshes inside the function scope. Reviewed By: jcjohnson Differential Revision: D19920082 fbshipit-source-id: d213226d5e1d19a0c8452f4d32771d07e8b91c0a
41 lines
1.0 KiB
Python
41 lines
1.0 KiB
Python
#!/usr/bin/env python3
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# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
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from itertools import product
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import torch
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from fvcore.common.benchmark import benchmark
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from test_face_areas_normals import TestFaceAreasNormals
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def bm_face_areas_normals() -> None:
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kwargs_list = []
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backend = ["cpu"]
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if torch.cuda.is_available():
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backend.append("cuda:0")
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num_meshes = [2, 10, 32]
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num_verts = [100, 1000]
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num_faces = [300, 3000]
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test_cases = product(num_meshes, num_verts, num_faces, backend)
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for case in test_cases:
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n, v, f, d = case
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kwargs_list.append(
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{"num_meshes": n, "num_verts": v, "num_faces": f, "device": d}
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)
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benchmark(
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TestFaceAreasNormals.face_areas_normals_with_init,
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"FACE_AREAS_NORMALS",
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kwargs_list,
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warmup_iters=1,
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)
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benchmark(
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TestFaceAreasNormals.face_areas_normals_with_init_torch,
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"FACE_AREAS_NORMALS_TORCH",
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kwargs_list,
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warmup_iters=1,
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)
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